Ozone

0th

Percentile

Los Angeles ozone pollution data, 1976

A data frame with 366 observations on 13 variables, each observation is one day

Keywords
datasets
Usage
data(Ozone)
Details

The problem is to predict the daily maximum one-hour-average ozone reading (V4).

Format

1
Month: 1 = January, ..., 12 = December
2
Day of month
3
Day of week: 1 = Monday, ..., 7 = Sunday
4
Daily maximum one-hour-average ozone reading
5
500 millibar pressure height (m) measured at Vandenberg AFB
6
Wind speed (mph) at Los Angeles International Airport (LAX)
7
Humidity (%) at LAX
8
Temperature (degrees F) measured at Sandburg, CA
9
Temperature (degrees F) measured at El Monte, CA
10
Inversion base height (feet) at LAX
11
Pressure gradient (mm Hg) from LAX to Daggett, CA
12
Inversion base temperature (degrees F) at LAX
13
Visibility (miles) measured at LAX

Source

Leo Breiman, Department of Statistics, UC Berkeley. Data used in Leo Breiman and Jerome H. Friedman (1985), Estimating optimal transformations for multiple regression and correlation, JASA, 80, pp. 580-598.

Aliases
  • Ozone
Examples
library(mlbench) data(Ozone) summary(Ozone)
Documentation reproduced from package mlbench, version 2.1-1, License: GPL-2

Community examples

Looks like there are no examples yet.